Evidence map›Paper›PMID 29201238›Full record

ArticleExperimental and therapeutic medicine2017

Susceptibility vessel sign predicts poor clinical outcome for acute stroke patients untreated by thrombolysis.

Huiqin Liu, Wenli Mei, Yue Huang, Yongli Li, Zuzhi Chen, Dongdong Li, Hong Ye, Jiewen Zhang

Abstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Targeting the Clot in Acute Stroke.AJNR. American journal of neuroradiology · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Huiqin LiuDepartment of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan 450003, P.R. China.
Wenli MeiDepartment of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan 450003, P.R. China.
Yue HuangDepartment of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan 450003, P.R. China.
Yongli LiDepartment of Radiology, People's Hospital of Zhengzhou University, Zhengzhou, Henan 450003, P.R. China.
Zuzhi ChenDepartment of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan 450003, P.R. China.
Dongdong LiDepartment of Neurology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453100, P.R. China.
Hong YeDepartment of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan 450003, P.R. China.
Jiewen ZhangDepartment of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan 450003, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The location and length of the susceptibility vessel sign (SVS) predicts poor outcome for patients having received reperfusion therapy. The aim of the present study was to assess the predictive value of SVS regarding the clinical outcome for patients untreated with thrombolysis. A retrospective study on acute stroke patients who underwent multimodal magnetic resonance imaging within 3 days from the onset of symptoms was performed. None of the patients had received thrombolysis therapy. The presence, location and length of the SVS were assessed. Uni- and multivariate analyses were used to examine the association between SVS and clinical outcome. A total of 43 SVS+ and 73 SVS- patients were included in the study. A modified Rankin Scale (mRS) of ≤2 at 3 months was determined in 41.9% of patients in the SVS+ group and 79.4% in the SVS- group (P<0.001). Multivariate analysis revealed that the presence of SVS was an independent parameter to predict mRS >2 at 3 months (odds ratio, 3.390; 95% confidence interval, 1.122-10.240; P=0.030). For patients with SVS+ status, the location and length of the SVS were not independent predictors of the clinical outcome. In conclusion, the presence of SVS may predict poor clinical outcome for acute stroke patients untreated with thrombolysis.

Indexed as

ischemic strokemagnetic resonance imagingoutcomesusceptibility vessel signsusceptibility-weighted imaging

Identifiers

PMID29201238
PMCPMC5704328

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.